Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to transform data analytics for Underwriting and develop a new Datamart.
- Company: Join a leading global insurance group making waves in data analytics.
- Benefits: Enjoy a competitive salary, hybrid work options, and the chance to make a real impact.
- Why this job: Be a key player in shaping data strategy and driving innovation in a major insurer.
- Qualifications: Experience with Python, SQL, Databricks, and strong analytical skills required.
- Other info: Actuarial qualifications are a plus but not essential; this role is all about leadership.
The predicted salary is between 72000 - 108000 £ per year.
London / hybrid 2 dpm office-based | Global Insurance Group | Permanent | Data Analytics and Actuarial
What's in it for me?
- Make an impact within a leading global insurance group
- Play a high-impact role in data analytics strategy
- Become a leader and driver for change
- Excellent remuneration package
The role:
Are you a senior data engineer, ideally with an actuarial background, seeking your next high-impact role within a major insurance group? Then this key position has your name written all over it!
In this exciting and unique opportunity, you will:
- Lead a team in delivering the successful transformation of the data analytics environment to support the delivery of Underwriting strategy
- Take a key lead in the introduction and embedding of a Cloud computing environment for Underwriting
- Act as technical leader for the development and delivery of a new Underwriting Datamart using the Databricks platform
What will I need?
- Technically astute with experience of Python, SQL and Databricks
- Insurance experience (though an actuarial qualification is not essential)
- Excellent analytical skills
- The ability to understand complex data structures
- Skills in organising and structuring data extracts
A fantastic opportunity to drive change within a major global insurer.
Data Engineering Manager employer: Star Actuarial Futures
Contact Detail:
Star Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network with professionals in the insurance and data engineering sectors. Attend industry events or webinars to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest trends in cloud computing and data analytics, particularly within the insurance industry. Being knowledgeable about current technologies and methodologies will demonstrate your commitment and expertise during discussions.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing teams. Highlight specific examples where you've successfully led projects or initiatives, especially those related to data transformation or analytics.
✨Tip Number 4
Research the company's data analytics strategy and any recent developments in their approach to underwriting. This will allow you to tailor your conversations and show how your skills align with their goals.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Databricks. Emphasise any previous roles where you led teams or managed data analytics projects, especially in the insurance sector.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in transforming data analytics environments and your understanding of complex data structures.
Showcase Leadership Skills: Since this role involves leading a team, be sure to include examples of your leadership experience. Highlight specific instances where you drove change or improved processes within a data analytics context.
Highlight Relevant Achievements: Include quantifiable achievements in your application. For instance, mention any successful projects you've led that resulted in significant improvements in data analytics or underwriting processes.
How to prepare for a job interview at Star Actuarial Futures
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Databricks in detail. Highlight specific projects where you successfully utilised these technologies, as this will demonstrate your technical prowess and relevance to the role.
✨Understand the Insurance Landscape
Even if you don't have an actuarial qualification, it's crucial to show a solid understanding of the insurance industry. Familiarise yourself with current trends and challenges in data analytics within insurance to impress your interviewers.
✨Demonstrate Leadership Experience
As a Data Engineering Manager, you'll need to lead a team. Prepare examples of how you've successfully managed teams or projects in the past, focusing on your ability to drive change and foster collaboration.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle complex data structures. Think of scenarios where you've had to organise and structure data extracts effectively, and be ready to explain your thought process.
